| contributor author | Lopes, António M. | |
| contributor author | Tenreiro Machado, J. A. | |
| date accessioned | 2017-11-25T07:20:24Z | |
| date available | 2017-11-25T07:20:24Z | |
| date copyright | 2017/24/1 | |
| date issued | 2017 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_012_04_044503.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4236426 | |
| description abstract | This paper analyses forest fires (FF) in the U.S. during 1984–2013, based on data collected by the monitoring trends in burn severity (MTBS) project. The study adopts the tools of dynamical systems to tackle information about space, time, and size. Computational visualization methods are used for reducing the information dimensionality and to unveil the relationships embedded in the data. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Computational Analysis of the U.S. Forest Fires | |
| type | Journal Paper | |
| journal volume | 12 | |
| journal issue | 4 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4035672 | |
| journal fristpage | 44503 | |
| journal lastpage | 044503-5 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 004 | |
| contenttype | Fulltext | |
